

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate




@dataclass(frozen=a_ )
class   UpperCamelCase			(  a_ ):
    __UpperCamelCase    =field(default="text-classification"						,      metadata={"include_in_asdict_even_if_is_default": True} )
    __UpperCamelCase    =Features({"text": Value("string" )} )
    __UpperCamelCase    =Features({"labels": ClassLabel} )
    __UpperCamelCase    ="text"
    __UpperCamelCase    ="labels"

    def UpperCamelCase      (      self			:   Union[str, Any]				,     snake_case__			:   Optional[int]     ):

     """simple docstring"""






     if self.label_column not in features:
      raise ValueError(F"""Column {self.label_column} is not present in features."""     )
     if not isinstance(features[self.label_column]				,     _lowercase     ):
      raise ValueError(F"""Column {self.label_column} is not a ClassLabel."""     )
     SCREAMING_SNAKE_CASE		    =      copy.deepcopy(self     )
     SCREAMING_SNAKE_CASE		    =      self.label_schema.copy()
     SCREAMING_SNAKE_CASE		    =      features[self.label_column]
     SCREAMING_SNAKE_CASE		    =      label_schema
     return task_template




    @property
    def UpperCamelCase      (      self			:   Union[str, Any]     ):

     """simple docstring"""






     return {
         self.text_column: "text",
         self.label_column: "labels",
     }




from __future__ import annotations


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			a_						:						List[str] 							= 0
			a_						:						str 							= len(a__) - 1

			while i < j:
						if nums[i] + nums[j] == target:
									return [i, j]
						elif nums[i] + nums[j] < target:
									a_						:						List[Any] 							= i + 1
						else:
									a_						:						Optional[Any] 							= j - 1

			return []


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	print(F"""{two_pointer([2, 7, 11, 15], 9) = }""")


